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西安交通大学 [10]

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限定条件	专题：西安交通大学第一署名单位第一作者单位通讯作者单位

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	A new unsupervised feature selection algorithm using similarity-based feature clustering 期刊论文 Computational Intelligence, 2019, 卷号: 35, 页码: 2-22 作者: Zhu, Xiaoyan; Wang, Yu; Li, Yingbin; Tan, Yonghui; Wang, Guangtao 收藏 \| 浏览/下载：12/0 \| 提交时间：2019/11/19 clustering Feature clustering Feature compression Feature similarities High dimensional data Interesting information Redundant features Unsupervised feature selection
	Soft subspace clustering with a multi-objective evolutionary approach 会议论文作者: Zhao, Shengdun; Jin, Liying; Wang, Yuehui; Wang, Wensheng; Du, Wei 收藏 \| 浏览/下载：16/0 \| 提交时间：2019/11/19 A new way of computing High dimensional data Lagrange multiplier method Multi-objective evolutionary Soft subspaces
	Sparse k-means with 8/0 penalty for high-dimensional data clustering 期刊论文 Statistica Sinica, 2018, 卷号: 28, 页码: 1265-1284 作者: Chang, Xiangyu; Wang, Yu; Li, Rongjian; Xu, Zongben 收藏 \| 浏览/下载：7/0 \| 提交时间：2019/11/26 High-dimensional data clustering Screening property Sparse k-means
	A Clustering Algorithm for High-Dimensional Nonlinear Feature Data with Applications 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2017, 卷号: 51, 页码: 49-55 and 90 作者: Jiang, Hongquan; Wang, Gang; Gao, Jianmin; Gao, Zhiyong; Gao, Ruiqi 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/26 Density clustering High dimensional data Kernel principal component analyses (KPCA) Knowledge expression Nonlinear characteristics Nonlinear features Nonlinear relations Principal component space
	Sparse Regularization in Fuzzy c-Means for High-Dimensional Data Clustering 期刊论文 IEEE TRANSACTIONS ON CYBERNETICS, 2017, 卷号: 47, 页码: 2616-2627 作者: Chang, Xiangyu; Wang, Qingnan; Liu, Yuewen; Wang, Yu 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/11/26 high-dimensional data clustering fuzzy c-means (FCM) l(q)(0 < q < = 1)-norm regularization
	A Hybrid PSO-GSA Strategy for High-dimensional Optimization and Microarray Data Clustering 会议论文作者: Sun, Shiquan; Peng, Qinke 收藏 \| 浏览/下载：15/0 \| 提交时间：2019/12/02 clustering local search microarray data global search high dimensional
	Sparse K-Means with the l(q)(0 <= q < 1) Constraint for High-Dimensional Data Clustering 会议论文作者: Wang, Yu; Chang, Xiangyu; Li, Rongjian; Xu, Zongben 收藏 \| 浏览/下载：5/0 \| 提交时间：2019/12/10 Sparse K-means High-Dimensional Clustering l(q)(0 < = q < 1) Constraint
	A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data 期刊论文 IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 卷号: 25, 期号: [db:dc_citation_issue], 页码: 1-14 作者: Song, Qinbao; Ni, Jingjie; Wang, Guangtao 收藏 \| 浏览/下载：4/0 \| 提交时间：2019/12/10 Feature subset selection filter method graph-based clustering feature clustering
	Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data 期刊论文 PATTERN RECOGNITION, 2013, 卷号: 46, 期号: [db:dc_citation_issue], 页码: 2562-2575 作者: Xia, Hu; Zhuang, Jian; Yu, Dehong 收藏 \| 浏览/下载：1/0 \| 提交时间：2019/12/10 Determination of the best solution Multi-objective evolutionary algorithm Subspace clustering Determination of the cluster number
	Fusion of adaptive local linear embedding and spectral clustering algorithm with application to fault diagnosis 期刊论文 Hsi-An Chiao Tung Ta Hsueh/Journal of Xi'an Jiaotong University, 2010, 卷号: 44, 期号: [db:dc_citation_issue], 页码: 77-82 作者: Zhang, Yulin; Zhuang, Jian; Wang, Na; Wang, Sun'an 收藏 \| 浏览/下载：2/0 \| 提交时间：2019/12/10 Classification accuracy High dimensional data Local Linear Embedding Manifold learning algorithm Normalized cuts Spectral clustering Spectral clustering algorithms Tennessee Eastman process

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